Cru Wine Vintage app icon

Apps Like Cru Wine Vintage for iPhone and iPad

by AMY ANGHARAD SHAHEIR★ 0.00 ratingsReference$3.99Data updated 2026-10-20

Cru Wine Vintage screenshots

Ranked alternatives

Showing 361–380 of 1,000 ranked alternatives.

  1. Winelikes app icon

    Winelikes

    Winelikes LLC

    Discover wine varieties and pairings

    Explore wine varieties with detailed descriptions and origin information. Rate and review wines. Save favorite bottles. Receive pairing suggestions based on meals. Track wine purchases and inventory. Share recommendations with friends.

    ★ 4.526 ratingsFood & DrinkFreeData updated 2026-09-06
  2. Ramirez Beverage Center app icon

    Ramirez Beverage Center

    Pyramid Incorporated

    Shop spirits, wine, and beer online

    Browse products by category, view detailed descriptions, and check pricing. Add items to a cart, apply discounts, and proceed to checkout. Track order status and contact customer support for assistance.

    ★ 4.919 ratingsShoppingFreeData updated 2026-09-06
  1. GSHP Meeting app icon

    GSHP Meeting

    Georgia Society of Health System Pharmacists Inc

    ★ 0.00 ratingsBusinessFreeData updated 2026-09-06
  2. Amsterdam Wine Co app icon

    Amsterdam Wine Co

    El Rojo NYC INC

    Browse wines and order delivery

    Browse wines and spirits available in-store. Order for delivery or pickup. View product details and availability. Track order status and payment history. Receive notifications about store hours and promotions.

    ★ 4.725 ratingsShoppingFreeData updated 2026-09-11
  3. Wine Rating: Sippr app icon

    Wine Rating: Sippr

    Henry Heisenberg Apps, LLC

    Scan labels, get instant ID and analysis

    Scan labels to identify producer, vintage, region, type, and varietal. Receive expert analysis including quality ratings and optimal drinking window. Build and manage a digital collection with label scans and tasting notes.

    ★ 4.77 ratingsReferenceFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.